Chloe Stefantsova
5190320af8
In the new variable encoding, variables exist either in the internal form (InternalLocalVariable, InternalSyntheticVariable, etc) or in the output form, which is passed to the backends. Normally, type inference is the mechanism that consumes the variables in the internal forma and produces the variables in the output form. However, some expressions are produced before type inference (in the BodyBuilder) and will never be processed by type inference. Synthetic assignments in for-in loops is an example of such expressions. This CL modifies the expression generators used by the BodyBuilder, so that the synthetic assignments are produced directly in the output form, since they will not be touched by type inference. This change makes the `loop.dart`, `switch.dart`, `instance_creation.dart`, `asserts.dart`, `field_initializers.dart`, `optional_params.dart`, `bootstrapping.dart`, `ffi.dart`, and `invisible.dart` tests of the bytecode generator to pass, so it can be removed from the excluded tests when the closure-context-lowering experiment is enabled. Part of https://github.com/dart-lang/sdk/issues/61572 Change-Id: I8d828b7da8e33c6e9fa6bfdda1f201bcdfad9ac4 Reviewed-on: https://dart-review.googlesource.com/c/sdk/+/487840 Reviewed-by: Alexander Markov <alexmarkov@google.com> Reviewed-by: Johnni Winther <johnniwinther@google.com> Commit-Queue: Chloe Stefantsova <cstefantsova@google.com>
Dart Kernel
Dart Kernel is a small high-level language derived from Dart. It is designed for use as an intermediate format for whole-program analysis and transformations, and to be consumed by codegen and execution backends.
The kernel language has an in-memory representation in Dart and can be serialized as binary or text.
Both the kernel language and its implementations are unstable and are under development.
This package contains the Dart part of the implementation and contains:
- A transformable IR for the kernel language
- Serialization of kernel code
Note: The APIs in this package are in an early state; developers should be careful about depending on this package. In particular, there is no semver contract for release versions of this package. Please depend directly on individual versions.
See ast.dart for the in-memory IR, or binary.md for a description of the binary format. For now, the textual format is very ad-hoc and cannot be parsed back in.